Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In their talk, Katie Nickels (Sr. Director of Intelligence Operations) and Jesse Griggs (Sr. Threat Researcher) from Red Canary show you how to adapt an endpoint detection mindset to the cloud, specifically focusing on pre-impact TTPs and building robust cloud detections.

Datadog Detect is a virtual mini-conference dedicated to helping security teams modernize detection and response by applying engineering best practices. Hear talks from industry experts, including security researchers and engineers at Datadog, Red Canary, and Corelight to learn about building scalable, effective security operations.

In this talk, Megan Roddie-Fonseca, Sr. Security Engineer at Datadog, addresses the challenge of finding "just right" detections, leveraging data classification techniques like recall and precision to balance false positives and missed attacks. Presented on October 30, 2025 for Datadog Detect.

In this talk, David Burkett, Cloud Security Researcher at Corelight, highlights how timeless evasion tactics create critical blind spots in cloud workloads, and illustrates the role of Network Detection and Response (NDR) as a resilient countermeasure. Presented on October 30, 2025 for Datadog Detect.

Is AI making application security easier or harder? We spoke to Amit Chita, Field CTO at Mend.io, the rise of AI agents in the Software Development Lifecycle (SDLC) presents a unique opportunity for security teams to be stricter than ever before. As developers increasingly use AI agents and integrate LLMs into applications, the attack surface is evolving in ways traditional security can't handle. The only way forward is a Zero Trust approach to your own AI models. Join Ashish Rajan and Amit Chita as they discuss the new threats introduced by AI and how to build a resilient security program for this new era.

What does it take to secure AI-based applications in the cloud? In this episode, host Ashish Rajan sits down with Bar-el Tayouri, Head of Mend AI at Mend.io, to dive deep into the evolving world of AI security. From uncovering the hidden dangers of shadow AI to understanding the layers of an AI Bill of Materials (AIBOM), Bar-el breaks down the complexities of securing AI-driven systems. Learn about the risks of malicious models, the importance of red teaming, and how to balance innovation with security in a dynamic AI landscape. What is an AIBOM and why it matters The stages of AI adoption.

Responding to threats often requires time-consuming, multi-step actions across multiple tools, slowing down investigations and increasing risk. Learn how security teams can automate a wide range of workflows, from everyday tasks to complex, multi-step investigations, so they can streamline response and reduce manual effort across tools and environments. In this demo, see how Datadog’s integrated SOAR, powered by Workflow Automation, helps you build, test, and manage automated security playbooks with confidence.

Vulnerability detection isn’t the main problem - remediation is. In today’s fast-paced development world, security teams are overwhelmed with alerts, while developers struggle to keep up with security tasks that feel disconnected from their workflow. The real risk? Vulnerabilities that sit unaddressed in a growing backlog. Join Daniel Wyrzykowski, Product Manager at Mend.io and Saoirse Hinksmon, Senior Product Marketing Manager at Mend.io as they explore.

In this video from Black Hat 2025, A10 Networks security expert Jamiso Utter explains the critical need to "futurize our defenses." He argues that many current cybersecurity solutions, such as firewalls and Regex, are built on decades-old technology, making them ill-equipped to handle today's emerging threats. Jamison highlights the problem with buying from companies whose "bottom line is more important than your bottom line," leading to a fragmented "best-of-breed" approach that ultimately adds complexity to a network.

Discover why Veracode was named a leader in the Q3 2025 Forrester Wave report on Static Application Security Testing (SAST) solutions. Key Highlights from the Report: Unmatched Detection Power: Spot vulnerabilities with precision and virtually zero false positives, keeping your code clean and secure. Developer-First Fixes: Say goodbye to workflow disruptions with Veracode Fix – automated remediation in IDEs and pull requests that lets devs fix issues on the fly.

In this session, Chris Lindsey discusses proven best practices for building a robust AppSec program, offering actionable insights for both developers and security teams. Chris, with over 35 years of experience in software development and 15+ years in security, shares strategies that helped him run a successful security program.

Hear from Bar-El Tayouri, Head of Mend AI, about the urgent need for a new approach to securing AI-driven applications. From understanding novel AI components and their risks to implementing a comprehensive AppSec program, this episode provides actionable insights for organizations building with AI.